Survey on privacy-preserving techniques for microdata publication
The exponential growth of collected, processed, and shared microdata has given rise to
concerns about individuals' privacy. As a result, laws and regulations have emerged to …
concerns about individuals' privacy. As a result, laws and regulations have emerged to …
From principle to practice: Vertical data minimization for machine learning
Aiming to train and deploy predictive models, organizations collect large amounts of detailed
client data, risking the exposure of private information in the event of a breach. To mitigate …
client data, risking the exposure of private information in the event of a breach. To mitigate …
Anatomisation with slicing: a new privacy preservation approach for multiple sensitive attributes
VS Susan, T Christopher - SpringerPlus, 2016 - Springer
An enormous quantity of personal health information is available in recent decades and
tampering of any part of this information imposes a great risk to the health care field. Existing …
tampering of any part of this information imposes a great risk to the health care field. Existing …
An efficient approach for publishing microdata for multiple sensitive attributes
The publication of microdata is pivotal for medical research purposes, data analysis and
data mining. These published data contain a substantial amount of sensitive information, for …
data mining. These published data contain a substantial amount of sensitive information, for …
A robust privacy preserving approach for electronic health records using multiple dataset with multiple sensitive attributes
Privacy preserving data publishing of electronic health record (EHRs) for 1 to M datasets
with multiple sensitive attributes (MSAs) is an interesting and challenging issue. There is …
with multiple sensitive attributes (MSAs) is an interesting and challenging issue. There is …
Privacy Preserving for Multiple Sensitive Attributes against Fingerprint Correlation Attack Satisfying c‐Diversity
Privacy preserving data publishing (PPDP) refers to the releasing of anonymized data for the
purpose of research and analysis. A considerable amount of research work exists for the …
purpose of research and analysis. A considerable amount of research work exists for the …
Survey on privacy-preserving techniques for data publishing
The exponential growth of collected, processed, and shared microdata has given rise to
concerns about individuals' privacy. As a result, laws and regulations have emerged to …
concerns about individuals' privacy. As a result, laws and regulations have emerged to …
KC-Slice: A dynamic privacy-preserving data publishing technique for multisensitive attributes
SA Onashoga, BA Bamiro, AT Akinwale… - … Security Journal: A …, 2017 - Taylor & Francis
Privacy preservation methods for anonymizing multiple sensitive attributes (MSA) data in the
field of privacy-preserving data publishing (PPDP) mostly seek enforcement of the-diversity …
field of privacy-preserving data publishing (PPDP) mostly seek enforcement of the-diversity …
Fuzzy-logic-based privacy-aware dynamic release of IoT-enabled healthcare data
H Attaullah, T Kanwal, A Anjum… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The recent evolution of the Internet of Things in the healthcare sector has attained
substantial recognition from the government and industry. Healthcare data accumulated …
substantial recognition from the government and industry. Healthcare data accumulated …
Privacy preserving data publishing for multiple sensitive attributes based on security level
Y Xiao, H Li - Information, 2020 - mdpi.com
Privacy preserving data publishing has received considerable attention for publishing useful
information while preserving data privacy. The existing privacy preserving data publishing …
information while preserving data privacy. The existing privacy preserving data publishing …